
Data System Architect
3 days ago
Are you a passionate software engineer seeking to build, scale, and modernize impactful business systems? We're looking for talented professionals who can drive technical improvements, contribute innovative ideas, and propose creative automation solutions across our engineering efforts.
- We are seeking a skilled Software Engineer to design and develop new features and enhancements for our core platforms and services.
- The ideal candidate will have strong hands-on experience with Python, web frameworks like FastAPI/Flask, and proficiency in implementing message queues and task distribution using RabbitMQ.
Key Responsibilities:
- Design and develop new features and enhancements for our core platforms and services.
- Contribute to the modernization and refactoring of existing systems and code bases.
- Propose, experiment with, and implement GenAI-based innovations, tools, or workflows to solve business problems and create new value.
- Drive technical improvements, suggest and lead platform upgrades, and champion engineering best practices.
- Investigate, debug, and resolve production issues, to deliver robust solutions that improve performance and maintainability.
- Collaborate with product, engineering, and business teams to deliver impactful end-to-end solutions.
- Help maintain the reliability, scalability, and security of our systems as we evolve our platform.
Requirements:
- Python: Strong hands-on experience with core Python and its standard libraries
- Web Framework: Experience developing backend APIs and services using FastAPI/Flask.
- RabbitMQ: Proficiency in implementing message queues and task distribution.
- Docker & Docker Compose: Experience containerizing applications and managing services.
- WebScraping: Demonstrated expertise with webscraping tools and techniques.
- Playwright & Selenium: Practical experience with browser automation frameworks.
- PostgreSQL & SQLAlchemy: Proficient in SQL and ORM-based data access.
- MongoDB & PyMongo: Experience with NoSQL data using PyMongo.
- Redis: Practical use for caching and lightweight messaging.
- AWS: Hands-on experience with services such as S3, Secrets Manager, and Auto Scaling Groups(using boto3).
- Linux/Unix: Comfort with command-line operations and scripting.
- Git: Proficient in version control and team collaboration.
- Concurrency: Experience with multithreading and asynchronous programming in Python.
- API Integrations: Familiarity with integrating third-party APIs, including authentication, data handling, and rate limiting.
- Good to have: Exposure to GenAI/LLMs (OpenAI, HuggingFace, etc.), prompt engineering, or integrating GenAI-powered features into products
Infrastructure Requirements:
Since this is a work-from-home position, you will also require:
High-speed internet connectivity for video calls and efficient work.
Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to uninterrupted work).
Headphones with clear audio quality.
Stable power connection and backups in case of internet/power failure.
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